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ORCIDLuc Van Gool
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- affiliation: ETH Zurich, Computer Vision Lab
- affiliation: KU Leuven, Center for Processing Speech and Images (PSI-VISICS)
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2020 – today
- 2022
[i302]Arun Balajee Vasudevan, Dengxin Dai, Luc Van Gool:
Sound and Visual Representation Learning with Multiple Pretraining Tasks. CoRR abs/2201.01046 (2022)- [i301]Jing Lin, Yuanhao Cai, Xiaowan Hu, Haoqian Wang, Youliang Yan, Xueyi Zou, Henghui Ding, Yulun Zhang, Radu Timofte, Luc Van Gool:
Flow-Guided Sparse Transformer for Video Deblurring. CoRR abs/2201.01893 (2022) - [i300]Niclas Vödisch, Ozan Unal, Ke Li, Luc Van Gool, Dengxin Dai:
End-To-End Optimization of LiDAR Beam Configuration for 3D Object Detection and Localization. CoRR abs/2201.03860 (2022) - [i299]Mohamad Shahbazi, Martin Danelljan, Danda Pani Paudel, Luc Van Gool:
Collapse by Conditioning: Training Class-conditional GANs with Limited Data. CoRR abs/2201.06578 (2022) - 2021
- [j154]Shurong Sheng, Katrien Laenen, Luc Van Gool, Marie-Francine Moens
:
Fine-Grained Cross-Modal Retrieval for Cultural Items with Focal Attention and Hierarchical Encodings. Comput. 10(9): 105 (2021) - [j153]Arun Balajee Vasudevan, Dengxin Dai, Luc Van Gool:
Talk2Nav: Long-Range Vision-and-Language Navigation with Dual Attention and Spatial Memory. Int. J. Comput. Vis. 129(1): 246-266 (2021) - [j152]Dengxin Dai, Robby T. Tan, Vishal Patel, Jiri Matas, Bernt Schiele, Luc Van Gool:
Guest Editorial: Special Issue on "Computer Vision for All Seasons: Adverse Weather and Lighting Conditions". Int. J. Comput. Vis. 129(7): 2031-2033 (2021) - [j151]Yuhua Chen, Haoran Wang, Wen Li, Christos Sakaridis, Dengxin Dai, Luc Van Gool:
Scale-Aware Domain Adaptive Faster R-CNN. Int. J. Comput. Vis. 129(7): 2223-2243 (2021) - [j150]Rui Gong, Wen Li, Yuhua Chen, Dengxin Dai, Luc Van Gool:
DLOW: Domain Flow and Applications. Int. J. Comput. Vis. 129(10): 2865-2888 (2021) - [j149]Dong Xu, Rama Chellappa, Luc Van Gool, Guo Lu:
Guest Editorial: Special Issue on Deep Learning for Video Analysis and Compression. Int. J. Comput. Vis. 129(12): 3171-3173 (2021) - [j148]Ren Yang, Fabian Mentzer, Luc Van Gool, Radu Timofte:
Learning for Video Compression With Recurrent Auto-Encoder and Recurrent Probability Model. IEEE J. Sel. Top. Signal Process. 15(2): 388-401 (2021) - [j147]Timothy Callemein, Tom Roussel, Ali Diba, Floris De Feyter, Wim Boes, Luc Van Eycken, Luc Van Gool, Hugo Van hamme, Tinne Tuytelaars, Toon Goedemé:
Show me where the action is! Multim. Tools Appl. 80(1): 383-408 (2021) - [j146]Liqian Ma, Stamatios Georgoulis, Xu Jia, Luc Van Gool:
FoV-Net: Field-of-View Extrapolation Using Self-Attention and Uncertainty. IEEE Robotics Autom. Lett. 6(3): 4321-4328 (2021) - [c691]Liqian Ma, Lingjie Liu, Christian Theobalt, Luc Van Gool:
Direct Dense Pose Estimation. 3DV 2021: 721-730 - [c690]Ayça Takmaz, Danda Pani Paudel, Thomas Probst, Ajad Chhatkuli, Martin R. Oswald, Luc Van Gool:
Unsupervised Monocular Depth Reconstruction of Non-Rigid Scenes. 3DV 2021: 825-836 - [c689]Janis Postels, Mengya Liu, Riccardo Spezialetti, Luc Van Gool, Federico Tombari:
Go with the Flows: Mixtures of Normalizing Flows for Point Cloud Generation and Reconstruction. 3DV 2021: 1249-1258 - [c688]Rui Gong, Dengxin Dai, Yuhua Chen, Wen Li, Danda Pani Paudel, Luc Van Gool:
Analogical Image Translation for Fog Generation. AAAI 2021: 1433-1441 - [c687]Yan Wu, Aoming Liu, Zhiwu Huang, Siwei Zhang, Luc Van Gool:
Neural Architecture Search as Sparse Supernet. AAAI 2021: 10379-10387 - [c686]Anton Obukhov, Maxim V. Rakhuba, Alexander Liniger, Zhiwu Huang, Stamatios Georgoulis, Dengxin Dai, Luc Van Gool:
Spectral Tensor Train Parameterization of Deep Learning Layers. AISTATS 2021: 3547-3555 - [c685]Valentin Wolf, Andreas Lugmayr, Martin Danelljan, Luc Van Gool, Radu Timofte:
DeFlow: Learning Complex Image Degradations From Unpaired Data With Conditional Flows. CVPR 2021: 94-103 - [c684]Stefano d'Apolito, Danda Pani Paudel, Zhiwu Huang, Andrés Romero, Luc Van Gool:
GANmut: Learning Interpretable Conditional Space for Gamut of Emotions. CVPR 2021: 568-577 - [c683]Florin-Alexandru Vasluianu, Andrés Romero, Luc Van Gool, Radu Timofte:
Shadow Removal With Paired and Unpaired Learning. CVPR Workshops 2021: 826-835 - [c682]Tianfei Zhou, Wenguan Wang, Si Liu, Yi Yang, Luc Van Gool:
Differentiable Multi-Granularity Human Representation Learning for Instance-Aware Human Semantic Parsing. CVPR 2021: 1622-1631 - [c681]Yawei Li, Wen Li, Martin Danelljan, Kai Zhang, Shuhang Gu, Luc Van Gool, Radu Timofte:
The Heterogeneity Hypothesis: Finding Layer-Wise Differentiated Network Architectures. CVPR 2021: 2144-2153 - [c680]Berk Kaya, Suryansh Kumar, Carlos E. P. de Oliveira, Vittorio Ferrari, Luc Van Gool:
Uncalibrated Neural Inverse Rendering for Photometric Stereo of General Surfaces. CVPR 2021: 3804-3814 - [c679]Mohsen Fayyaz, Emad Bahrami Rad, Ali Diba, Mehdi Noroozi, Ehsan Adeli, Luc Van Gool, Jürgen Gall:
3D CNNs With Adaptive Temporal Feature Resolutions. CVPR 2021: 4731-4740 - [c678]Prune Truong, Martin Danelljan, Luc Van Gool, Radu Timofte:
Learning Accurate Dense Correspondences and When To Trust Them. CVPR 2021: 5714-5724 - [c677]Nikola Popovic, Danda Pani Paudel, Thomas Probst, Guolei Sun, Luc Van Gool:
CompositeTasking: Understanding Images by Spatial Composition of Tasks. CVPR 2021: 6870-6880 - [c676]Suman Saha, Anton Obukhov, Danda Pani Paudel, Menelaos Kanakis, Yuhua Chen, Stamatios Georgoulis, Luc Van Gool:
Learning To Relate Depth and Semantics for Unsupervised Domain Adaptation. CVPR 2021: 8197-8207 - [c675]Rui Gong, Yuhua Chen, Danda Pani Paudel, Yawei Li, Ajad Chhatkuli, Wen Li, Dengxin Dai, Luc Van Gool:
Cluster, Split, Fuse, and Update: Meta-Learning for Open Compound Domain Adaptive Semantic Segmentation. CVPR 2021: 8344-8354 - [c674]Goutam Bhat, Martin Danelljan, Luc Van Gool, Radu Timofte:
Deep Burst Super-Resolution. CVPR 2021: 9209-9218 - [c673]Jingyun Liang, Kai Zhang, Shuhang Gu, Luc Van Gool, Radu Timofte:
Flow-Based Kernel Prior With Application to Blind Super-Resolution. CVPR 2021: 10601-10610 - [c672]Lukas Hoyer, Dengxin Dai, Yuhua Chen, Adrian Köring, Suman Saha, Luc Van Gool:
Three Ways To Improve Semantic Segmentation With Self-Supervised Depth Estimation. CVPR 2021: 11130-11140 - [c671]M. Saquib Sarfraz, Naila Murray, Vivek Sharma, Ali Diba, Luc Van Gool, Rainer Stiefelhagen:
Temporally-Weighted Hierarchical Clustering for Unsupervised Action Segmentation. CVPR 2021: 11225-11234 - [c670]Mohamad Shahbazi, Zhiwu Huang, Danda Pani Paudel, Ajad Chhatkuli, Luc Van Gool:
Efficient Conditional GAN Transfer With Knowledge Propagation Across Classes. CVPR 2021: 12167-12176 - [c669]Ankush Panwar, Pratyush Singh, Suman Saha, Danda Pani Paudel, Luc Van Gool:
Unsupervised Compound Domain Adaptation for Face Anti-Spoofing. FG 2021: 1-8 - [c668]Jonas Heylen, Mark De Wolf, Bruno Dawagne, Marc Proesmans, Luc Van Gool, Wim Abbeloos, Hazem Abdelkawy, Daniel Olmeda Reino:
MonoCInIS: Camera Independent Monocular 3D Object Detection using Instance Segmentation. ICCVW 2021: 923-934 - [c667]Jingyun Liang, Jiezhang Cao, Guolei Sun, Kai Zhang, Luc Van Gool, Radu Timofte:
SwinIR: Image Restoration Using Swin Transformer. ICCVW 2021: 1833-1844 - [c666]Angela Castillo, María Escobar, Juan C. Pérez, Andrés Romero, Radu Timofte, Luc Van Gool, Pablo Arbelaez:
Generalized Real-World Super-Resolution through Adversarial Robustness. ICCVW 2021: 1855-1865 - [c665]Andrés Romero, Luc Van Gool, Radu Timofte:
SMILE: Semantically-guided Multi-attribute Image and Layout Editing. ICCVW 2021: 1924-1933 - [c664]Matej Kristan, Jirí Matas, Ales Leonardis, Michael Felsberg, Roman P. Pflugfelder, Joni-Kristian Kämäräinen, Hyung Jin Chang, Martin Danelljan, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Jani Käpylä, Gustav Häger, Song Yan, Jinyu Yang, Zhongqun Zhang, Gustavo Fernández, Mohamed H. Abdelpakey, Goutam Bhat, Llukman Cerkezi, Hakan Cevikalp, Shengyong Chen, Xin Chen, Miao Cheng, Ziyi Cheng, Yu-Chen Chiu, Ozgun Cirakman, Yutao Cui, Kenan Dai, Mohana Murali Dasari, Qili Deng, Xingping Dong, Daniel K. Du, Matteo Dunnhofer, Zhen-Hua Feng, Zhiyong Feng, Zhihong Fu, Shiming Ge, Rama Krishna Gorthi, Yuzhang Gu, Bilge Gunsel, Qing Guo, Filiz Gurkan, Wencheng Han, Yanyan Huang, Felix Järemo Lawin, Shang-Jhih Jhang, Rongrong Ji, Cheng Jiang, Yingjie Jiang, Felix Juefei-Xu, J. Yin, Xiao Ke, Fahad Shahbaz Khan, Byeong Hak Kim, Josef Kittler, Xiangyuan Lan, Jun Ha Lee, Bastian Leibe, Hui Li, Jianhua Li, Xianxian Li, Yuezhou Li, Bo Liu, Chang Liu, Jingen Liu, Li Liu, Qingjie Liu, Huchuan Lu, Wei Lu, Jonathon Luiten, Jie Ma, Ziang Ma, Niki Martinel, Christoph Mayer, Alireza Memarmoghadam, Christian Micheloni, Yuzhen Niu, Danda Pani Paudel, Houwen Peng, Shoumeng Qiu, Aravindh Rajiv, Muhammad Rana, Andreas Robinson, Hasan Saribas, Ling Shao, Mohamed Shehata, Furao Shen, Jianbing Shen, Kristian Simonato, Xiaoning Song, Zhangyong Tang, Radu Timofte, Philip H. S. Torr, Chi-Yi Tsai, Bedirhan Uzun, Luc Van Gool, Paul Voigtlaender, Dong Wang, Guangting Wang, Liangliang Wang, Lijun Wang, Limin Wang, Linyuan Wang, Yong Wang, Yunhong Wang, Chenyan Wu, Gangshan Wu, Xiaojun Wu, Fei Xie, Tianyang Xu, Xiang Xu, Wanli Xue, Bin Yan, Wankou Yang, Xiaoyun Yang, Yu Ye, Jun Yin, Chengwei Zhang, Chunhui Zhang, Haitao Zhang, Kaihua Zhang, Kangkai Zhang, Xiaohan Zhang, Xiaolin Zhang, Xinyu Zhang, Zhibin Zhang, Shao-Chuan Zhao, Ming Zhen, Bineng Zhong, Jiawen Zhu, Xuefeng Zhu:
The Ninth Visual Object Tracking VOT2021 Challenge Results. ICCVW 2021: 2711-2738 - [c663]Zhihao Liu, Zhijian He, Lujia Wang, Wenguan Wang, Yixuan Yuan, Dingwen Zhang, Jinglin Zhang, Pengfei Zhu, Luc Van Gool, Junwei Han, Steven C. H. Hoi, Qinghua Hu, Ming Liu, Junwen Pan, Baoqun Yin, Binyu Zhang, Chengxin Liu, Ding Ding, Dingkang Liang, Guanchen Ding, Hao Lu, Hui Lin, Jingyuan Chen, Jiong Li, Liang Liu, Lin Zhou, Min Shi, Qianqian Yang, Qing He, Sifan Peng, Wei Xu, Wenwei Han, Xiang Bai, Xiwu Chen, Yabin Wang, Yinfeng Xia, Yiran Tao, Zhenzhong Chen, Zhiguo Cao:
VisDrone-CC2021: The Vision Meets Drone Crowd Counting Challenge Results. ICCVW 2021: 2830-2838 - [c662]Guanlin Chen, Wenguan Wang, Zhijian He, Lujia Wang, Yixuan Yuan, Dingwen Zhang, Jinglin Zhang, Pengfei Zhu, Luc Van Gool, Junwei Han, Steven Chu-Hong Hoi, Qinghua Hu, Ming Liu, Andrea Sciarrone, Chao Sun, Chiara Garibotto, Duong Nguyen-Ngoc Tran, Fabio Lavagetto, Halar Haleem, Hakki Motorcu, Hasan F. Ates, Huy-Hung Nguyen, Hyung-Joon Jeon, Igor Bisio, Jae Wook Jeon, Jiahao Li, Long Hoang Pham, Moongu Jeon, Qianyu Feng, Shengwen Li, Tai Huu-Phuong Tran, Xiao Pan, Young-Min Song, Yuehan Yao, Yunhao Du, Zhenyu Xu, Zhipeng Luo:
VisDrone-MOT2021: The Vision Meets Drone Multiple Object Tracking Challenge Results. ICCVW 2021: 2839-2846 - [c661]Yaru Cao, Zhijian He, Lujia Wang, Wenguan Wang, Yixuan Yuan, Dingwen Zhang, Jinglin Zhang, Pengfei Zhu, Luc Van Gool, Junwei Han, Steven C. H. Hoi, Qinghua Hu, Ming Liu, Chong Cheng, Fanfan Liu, Guojin Cao, Guozhen Li, Hongkai Wang, Jianye He, Junfeng Wan, Qi Wan, Qi Zhao, Shuchang Lyu, Wenzhe Zhao, Xiaoqiang Lu, Xingkui Zhu, Yingjie Liu, Yixuan Lv, Yujing Ma, Yuting Yang, Zhe Wang, Zhenyu Xu, Zhipeng Luo, Zhimin Zhang, Zhiguang Zhang, Zihao Li, Zixiao Zhang:
VisDrone-DET2021: The Vision Meets Drone Object detection Challenge Results. ICCVW 2021: 2847-2854 - [c660]Eugenio Chisari, Alexander Liniger, Alisa Rupenyan, Luc Van Gool, John Lygeros:
Learning from Simulation, Racing in Reality. ICRA 2021: 8046-8052 - [c659]Ardhendu Shekhar Tripathi, Martin Danelljan, Luc Van Gool, Radu Timofte:
Fast Few-Shot Classification by Few-Iteration Meta-Learning. ICRA 2021: 9522-9528 - [c658]Rhea Sanjay Sukthanker, Zhiwu Huang, Suryansh Kumar, Erik Goron Endsjo, Yan Wu, Luc Van Gool:
Neural Architecture Search of SPD Manifold Networks. IJCAI 2021: 3002-3009 - [c657]Matthieu Paul, Martin Danelljan, Luc Van Gool, Radu Timofte:
Local Memory Attention for Fast Video Semantic Segmentation. IROS 2021: 1102-1109 - [c656]Edoardo Mello Rella, Jan-Nico Zaech, Alexander Liniger, Luc Van Gool:
Decoder Fusion RNN: Context and Interaction Aware Decoders for Trajectory Prediction. IROS 2021: 5937-5943 - [c655]Siwei Zhang, Zhiwu Huang, Danda Pani Paudel, Luc Van Gool:
Facial Emotion Recognition with Noisy Multi-task Annotations. WACV 2021: 21-31 - [c654]Yevhen Kuznietsov, Marc Proesmans, Luc Van Gool:
CoMoDA: Continuous Monocular Depth Adaptation Using Past Experiences. WACV 2021: 2906-2916 - [c653]Ozan Unal, Luc Van Gool, Dengxin Dai:
Improving Point Cloud Semantic Segmentation by Learning 3D Object Detection. WACV 2021: 2949-2958 - [c652]Samarth Shukla, Andrés Romero, Luc Van Gool, Radu Timofte:
Zero-Pair Image to Image Translation using Domain Conditional Normalization. WACV 2021: 3511-3518 - [i298]Prune Truong, Martin Danelljan, Luc Van Gool, Radu Timofte:
Learning Accurate Dense Correspondences and When to Trust Them. CoRR abs/2101.01710 (2021) - [i297]Matthieu Paul, Martin Danelljan, Luc Van Gool, Radu Timofte:
Local Memory Attention for Fast Video Semantic Segmentation. CoRR abs/2101.01715 (2021) - [i296]Bin Zhao, Goutam Bhat, Martin Danelljan, Luc Van Gool, Radu Timofte:
Generating Masks from Boxes by Mining Spatio-Temporal Consistencies in Videos. CoRR abs/2101.02196 (2021) - [i295]Valentin Wolf, Andreas Lugmayr, Martin Danelljan, Luc Van Gool, Radu Timofte:
DeFlow: Learning Complex Image Degradations from Unpaired Data with Conditional Flows. CoRR abs/2101.05796 (2021) - [i294]Yan Wu, Zhiwu Huang, Suryansh Kumar, Rhea Sanjay Sukthanker, Radu Timofte, Luc Van Gool:
Trilevel Neural Architecture Search for Efficient Single Image Super-Resolution. CoRR abs/2101.06658 (2021) - [i293]Ke Li, Dengxin Dai, Ender Konukoglu, Luc Van Gool:
Hyperspectral Image Super-Resolution with Spectral Mixup and Heterogeneous Datasets. CoRR abs/2101.07589 (2021) - [i292]Goutam Bhat, Martin Danelljan, Luc Van Gool, Radu Timofte:
Deep Burst Super-Resolution. CoRR abs/2101.10997 (2021) - [i291]Wenguan Wang, Tianfei Zhou, Fisher Yu, Jifeng Dai, Ender Konukoglu, Luc Van Gool:
Exploring Cross-Image Pixel Contrast for Semantic Segmentation. CoRR abs/2101.11939 (2021) - [i290]Wouter Van Gansbeke, Simon Vandenhende, Stamatios Georgoulis, Luc Van Gool:
Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals. CoRR abs/2102.06191 (2021) - [i289]Mohamad Shahbazi, Zhiwu Huang, Danda Pani Paudel, Ajad Chhatkuli, Luc Van Gool:
Efficient Conditional GAN Transfer with Knowledge Propagation across Classes. CoRR abs/2102.06696 (2021) - [i288]Anton Obukhov, Maxim V. Rakhuba, Alexander Liniger, Zhiwu Huang, Stamatios Georgoulis, Dengxin Dai, Luc Van Gool:
Spectral Tensor Train Parameterization of Deep Learning Layers. CoRR abs/2103.04217 (2021) - [i287]Tianfei Zhou, Wenguan Wang, Si Liu, Yi Yang, Luc Van Gool:
Differentiable Multi-Granularity Human Representation Learning for Instance-Aware Human Semantic Parsing. CoRR abs/2103.04570 (2021) - [i286]M. Saquib Sarfraz, Naila Murray, Vivek Sharma, Ali Diba, Luc Van Gool, Rainer Stiefelhagen:
Temporally-Weighted Hierarchical Clustering for Unsupervised Action Segmentation. CoRR abs/2103.11264 (2021) - [i285]Kai Zhang, Jingyun Liang, Luc Van Gool, Radu Timofte:
Designing a Practical Degradation Model for Deep Blind Image Super-Resolution. CoRR abs/2103.14006 (2021) - [i284]Peshal Agarwal, Danda Pani Paudel, Jan-Nico Zaech, Luc Van Gool:
Unsupervised Robust Domain Adaptation without Source Data. CoRR abs/2103.14577 (2021) - [i283]Jingyun Liang, Kai Zhang, Shuhang Gu, Luc Van Gool, Radu Timofte:
Flow-based Kernel Prior with Application to Blind Super-Resolution. CoRR abs/2103.15977 (2021) - [i282]Christoph Mayer, Martin Danelljan, Danda Pani Paudel, Luc Van Gool:
Learning Target Candidate Association to Keep Track of What Not to Track. CoRR abs/2103.16556 (2021) - [i281]Prune Truong, Martin Danelljan, Fisher Yu, Luc Van Gool:
Warp Consistency for Unsupervised Learning of Dense Correspondences. CoRR abs/2104.03308 (2021) - [i280]Yawei Li, He Chen, Zhaopeng Cui, Radu Timofte, Marc Pollefeys, Gregory Chirikjian, Luc Van Gool:
Towards Efficient Graph Convolutional Networks for Point Cloud Handling. CoRR abs/2104.05706 (2021) - [i279]Yawei Li, Kai Zhang, Jiezhang Cao, Radu Timofte, Luc Van Gool:
LocalViT: Bringing Locality to Vision Transformers. CoRR abs/2104.05707 (2021) - [i278]Jan-Nico Zaech, Dengxin Dai, Alexander Liniger, Martin Danelljan, Luc Van Gool:
Learnable Online Graph Representations for 3D Multi-Object Tracking. CoRR abs/2104.11747 (2021) - [i277]Christos Sakaridis, Dengxin Dai, Luc Van Gool:
ACDC: The Adverse Conditions Dataset with Correspondences for Semantic Driving Scene Understanding. CoRR abs/2104.13395 (2021) - [i276]Qin Wang, Dengxin Dai, Lukas Hoyer, Olga Fink, Luc Van Gool:
Domain Adaptive Semantic Segmentation with Self-Supervised Depth Estimation. CoRR abs/2104.13613 (2021) - [i275]David Bruggemann, Menelaos Kanakis, Anton Obukhov, Stamatios Georgoulis, Luc Van Gool:
Exploring Relational Context for Multi-Task Dense Prediction. CoRR abs/2104.13874 (2021) - [i274]Suman Saha, Anton Obukhov, Danda Pani Paudel, Menelaos Kanakis, Yuhua Chen, Stamatios Georgoulis, Luc Van Gool:
Learning to Relate Depth and Semantics for Unsupervised Domain Adaptation. CoRR abs/2105.07830 (2021) - [i273]Ankush Panwar, Pratyush Singh, Suman Saha, Danda Pani Paudel, Luc Van Gool:
Unsupervised Compound Domain Adaptation for Face Anti-Spoofing. CoRR abs/2105.08463 (2021) - [i272]Guolei Sun, Yun Liu, Thomas Probst, Danda Pani Paudel, Nikola Popovic, Luc Van Gool:
Boosting Crowd Counting with Transformers. CoRR abs/2105.10926 (2021) - [i271]Dario Fuoli, Luc Van Gool, Radu Timofte:
Fourier Space Losses for Efficient Perceptual Image Super-Resolution. CoRR abs/2106.00783 (2021) - [i270]Janis Postels, Mengya Liu, Riccardo Spezialetti, Luc Van Gool, Federico Tombari:
Go with the Flows: Mixtures of Normalizing Flows for Point Cloud Generation and Reconstruction. CoRR abs/2106.03135 (2021) - [i269]Yun Liu, Guolei Sun, Yu Qiu, Le Zhang, Ajad Chhatkuli, Luc Van Gool:
Transformer in Convolutional Neural Networks. CoRR abs/2106.03180 (2021) - [i268]Rhea Sanjay Sukthanker, Zhiwu Huang, Suryansh Kumar, Radu Timofte, Luc Van Gool:
Generative Flows with Invertible Attentions. CoRR abs/2106.03959 (2021) - [i267]Wouter Van Gansbeke, Simon Vandenhende, Stamatios Georgoulis, Luc Van Gool:
Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations. CoRR abs/2106.05967 (2021) - [i266]Jiezhang Cao, Yawei Li, Kai Zhang, Luc Van Gool:
Video Super-Resolution Transformer. CoRR abs/2106.06847 (2021) - [i265]Janis Postels, Mattia Segù, Tao Sun, Luc Van Gool, Fisher Yu, Federico Tombari:
On the Practicality of Deterministic Epistemic Uncertainty. CoRR abs/2107.00649 (2021) - [i264]Wenguan Wang, Tianfei Zhou, Fatih Porikli, David J. Crandall, Luc Van Gool:
A Survey on Deep Learning Technique for Video Segmentation. CoRR abs/2107.01153 (2021) - [i263]Guolei Sun, Yun Liu, Jingyun Liang, Luc Van Gool:
Boosting Few-shot Semantic Segmentation with Transformers. CoRR abs/2108.02266 (2021) - [i262]Davide Menini, Suryansh Kumar, Martin R. Oswald, Erik Sandström, Cristian Sminchisescu, Luc Van Gool:
A Real-Time Online Learning Framework for Joint 3D Reconstruction and Semantic Segmentation of Indoor Scenes. CoRR abs/2108.05246 (2021) - [i261]Martin Hahner, Christos Sakaridis, Dengxin Dai, Luc Van Gool:
Fog Simulation on Real LiDAR Point Clouds for 3D Object Detection in Adverse Weather. CoRR abs/2108.05249 (2021) - [i260]Jingyun Liang, Andreas Lugmayr, Kai Zhang, Martin Danelljan, Luc Van Gool, Radu Timofte:
Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image Rescaling. CoRR abs/2108.05301 (2021) - [i259]Jingyun Liang, Guolei Sun, Kai Zhang, Luc Van Gool, Radu Timofte:
Mutual Affine Network for Spatially Variant Kernel Estimation in Blind Image Super-Resolution. CoRR abs/2108.05302 (2021) - [i258]Edoardo Mello Rella, Jan-Nico Zaech, Alexander Liniger, Luc Van Gool:
Decoder Fusion RNN: Context and Interaction Aware Decoders for Trajectory Prediction. CoRR abs/2108.05814 (2021) - [i257]Zhejun Zhang, Alexander Liniger, Dengxin Dai, Fisher Yu, Luc Van Gool:
End-to-End Urban Driving by Imitating a Reinforcement Learning Coach. CoRR abs/2108.08265 (2021) - [i256]Goutam Bhat, Martin Danelljan, Fisher Yu, Luc Van Gool, Radu Timofte:
Deep Reparametrization of Multi-Frame Super-Resolution and Denoising. CoRR abs/2108.08286 (2021) - [i255]Jingyun Liang, Jiezhang Cao, Guolei Sun, Kai Zhang, Luc Van Gool, Radu Timofte:
SwinIR: Image Restoration Using Swin Transformer. CoRR abs/2108.10257 (2021) - [i254]Angela Castillo, María Escobar, Juan C. Pérez, Andrés Romero, Radu Timofte, Luc Van Gool, Pablo Arbeláez:
Generalized Real-World Super-Resolution through Adversarial Robustness. CoRR abs/2108.11505 (2021) - [i253]Lukas Hoyer, Dengxin Dai, Qin Wang, Yuhua Chen, Luc Van Gool:
Improving Semi-Supervised and Domain-Adaptive Semantic Segmentation with Self-Supervised Depth Estimation. CoRR abs/2108.12545 (2021) - [i252]Dengxin Dai, Arun Balajee Vasudevan, Jiri Matas, Luc Van Gool:
Binaural SoundNet: Predicting Semantics, Depth and Motion with Binaural Sounds. CoRR abs/2109.02763 (2021) - [i251]Ren Yang, Luc Van Gool, Radu Timofte:
Perceptual Learned Video Compression with Recurrent Conditional GAN. CoRR abs/2109.03082 (2021) - [i250]Rui Gong, Martin Danelljan, Dengxin Dai, Wenguan Wang, Danda Pani Paudel, Ajad Chhatkuli, Fisher Yu, Luc Van Gool:
TADA: Taxonomy Adaptive Domain Adaptation. CoRR abs/2109.04813 (2021) - [i249]Yu-Hui Huang, Marc Proesmans, Luc Van Gool:
Context-aware Padding for Semantic Segmentation. CoRR abs/2109.07854 (2021) - [i248]Prune Truong, Martin Danelljan, Radu Timofte, Luc Van Gool:
PDC-Net+: Enhanced Probabilistic Dense Correspondence Network. CoRR abs/2109.13912 (2021) - [i247]Jonas Heylen, Mark De Wolf, Bruno Dawagne, Marc Proesmans, Luc Van Gool, Wim Abbeloos, Hazem Abdelkawy, Daniel Olmeda Reino:
MonoCInIS: Camera Independent Monocular 3D Object Detection using Instance Segmentation. CoRR abs/2110.00464 (2021) - [i246]Yigit Baran Can, Alexander Liniger, Danda Pani Paudel, Luc Van Gool:
Structured Bird's-Eye-View Traffic Scene Understanding from Onboard Images. CoRR abs/2110.01997 (2021) - [i245]Berk Kaya, Suryansh Kumar, Francesco Sarno, Vittorio Ferrari, Luc Van Gool:
Neural Radiance Fields Approach to Deep Multi-View Photometric Stereo. CoRR abs/2110.05594 (2021) - [i244]Francesco Sarno, Suryansh Kumar, Berk Kaya, Zhiwu Huang, Vittorio Ferrari, Luc Van Gool:
Neural Architecture Search for Efficient Uncalibrated Deep Photometric Stereo. CoRR abs/2110.05621 (2021) - [i243]Andreas Lugmayr, Martin Danelljan, Fisher Yu, Luc Van Gool, Radu Timofte:
Normalizing Flow as a Flexible Fidelity Objective for Photo-Realistic Super-resolution. CoRR abs/2111.03649 (2021) - [i242]Yuanhao Cai, Jing Lin, Xiaowan Hu, Haoqian Wang, Xin Yuan, Yulun Zhang, Radu Timofte, Luc Van Gool:
Mask-guided Spectral-wise Transformer for Efficient Hyperspectral Image Reconstruction. CoRR abs/2111.07910 (2021) - [i241]Guanglei Yang, Hao Tang, Humphrey Shi, Mingli Ding, Nicu Sebe, Radu Timofte, Luc Van Gool, Elisa Ricci:
Global and Local Alignment Networks for Unpaired Image-to-Image Translation. CoRR abs/2111.10346 (2021) - [i240]Wenhao Li, Hong Liu, Hao Tang, Pichao Wang, Luc Van Gool:
MHFormer: Multi-Hypothesis Transformer for 3D Human Pose Estimation. CoRR abs/2111.12707 (2021) - [i239]Zipeng Xu, Tianwei Lin, Hao Tang, Fu Li, Dongliang He, Nicu Sebe, Radu Timofte, Luc Van Gool, Errui Ding:
Predict, Prevent, and Evaluate: Disentangled Text-Driven Image Manipulation Empowered by Pre-Trained Vision-Language Model. CoRR abs/2111.13333 (2021) - [i238]Muhammad Ferjad Naeem, Evin Pinar Örnek, Yongqin Xian, Luc Van Gool, Federico Tombari:
3D Compositional Zero-shot Learning with DeCompositional Consensus. CoRR abs/2111.14673 (2021) - [i237]Lukas Hoyer, Dengxin Dai, Luc Van Gool:
DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation. CoRR abs/2111.14887 (2021) - [i236]Lei Sun, Christos Sakaridis, Jingyun Liang, Qi Jiang, Kailun Yang, Peng Sun, Yaozu Ye, Kaiwei Wang, Luc Van Gool:
MEFNet: Multi-scale Event Fusion Network for Motion Deblurring. CoRR abs/2112.00167 (2021) - [i235]Yannick Strümpler, Janis Postels, Ren Yang, Luc Van Gool, Federico Tombari:
Implicit Neural Representations for Image Compression. CoRR abs/2112.04267 (2021) - [i234]Philippe Blatter, Menelaos Kanakis, Martin Danelljan, Luc Van Gool:
Efficient Visual Tracking with Exemplar Transformers. CoRR abs/2112.09686 (2021) - [i233]Yigit Baran Can, Alexander Liniger, Danda Pani Paudel, Luc Van Gool:
Topology Preserving Local Road Network Estimation from Single Onboard Camera Image.